Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm

Authors

DOI:

https://doi.org/10.11121/ijocta.1407

Keywords:

PMSG, Rotor design optimization, Moth flame optimization algorithm, Magnetic flux density distribution

Abstract

The goal of this paper is to optimize the rotor design parameters of 4000 rpm permanent magnet synchronous generator. The factors namely embrace, offset, outer diameter, and magnet thickness are selected as the design parameters those will be optimized in order to hold the magnetic flux density (MFD) distribution and the flux density on stator teeth and stator yoke within a desirable range while maximizing efficiency. The numerical simulations are carried out in the Maxwell environment for this purpose. The mathematical relationships between the responses and the factors are then derived using regression modeling over the simulation data. Following the modeling phase, the moth flame optimization is applied to these regression models to optimize the rotor design parameters. The motivation is determining mathematical relation between the important design parameters of the high speed generator and the measured responses, when standard M530-50A lamination material is used and then to demonstrate the utility of MFO to the readers on this design problem. The optimum factor levels for embrace, offset, outer diameter, and magnet thickness are calculated as 0.68, 30, 161.56, and 8.92 respectively. Additionally, confirmations are done by using Maxwell and the efficiency is calculated as 94.85%, and magnetic distributions are calculated as 1.64, 0.26, and 0.93 Tesla for stator teeth flux density, stator yoke flux density, and MFD; respectively. The results show that the efficiency is maximized and the magnetic distributions are kept within an appropriate range.

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Author Biographies

Deniz Perin, Department of R&D, ISBIR Electric Company, Turkey

Deniz Perin received MSc. and Ph.D. Degrees in Physics from Balikesir University in the years 2008 and 2015 in Turkey, respectively. He has studied magnetic flux leakage (MFL) and magnetic non-destructive testing in Ph.D. and in research program of Cardiff University Wolfson Centre for magnetics. From 2017 till now, he is working on magnetic design & simulations of synchronous generators with ANSYS Maxwell in Isbir Electric Co Research & Development Department as a research and development expert.

Aslan Deniz Karaoglan, Department of Industrial Engineering, Balikesir University, Turkey

Aslan Deniz Karaoglan received his Industrial Engineering diploma from Gazi University in Turkey in 2001, MSc. from Balikesir University in 2006, and Ph.D. from Dokuz Eylul University in 2010 in Turkey. His research interests are design of experiments, statistical process control, artificial intelligence, and optimization. He is a professor at Balikesir University (Turkey), Department of Industrial Engineering.

Kemal Yilmaz, Department of R&D, ISBIR Electric Company, Turkey

Kemal Yilmaz received the B.S. degree in in 2015 from the Department of Mechatronics Engineering - Karabuk University in 2015. Since 2017, he has been working as project and simulation Engineer in Isbir Electric Co Research & Development Department. His research interests are magnetic design and simulations of synchronous generators with Ansys Maxwell.

References

The company Vacuumschmelze (2021). Soft Magnetic Cobalt-Iron Alloys Vacoflux and Vacodur (1st ed.). VACUUMSCHMELZE GmbH & Co. KG, Hanau.

Bartolo, J.B., Zhang, H., Gerada, D., De Lillo, L., & Gerada, C. (2013). High speed electrical generators, application, materials and design. 1st IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD), March 11-12, Paris, France.

Fang, L., Jung, J.W., Hong, J.P. & Lee, J.H. (2008). Study on high-efficiency performance in interior permanent-magnet synchronous motor with double-layer PM design. IEEE Transactions on Magnetics, 44(11), 4393-4396.

Li, H., & F. Liu (2011). The electromagnetic field analysis of permanent magnet synchronous generator based on ANSYS. 2nd International Conference on Advanced Measurement and Test (AMT 2011), Nanchang, PRC, June 24-26, 2011.

Kurt, U., Onbilgin, G., & Ozgonenel, O. (2012). Defining design criteria of an axial flux permanent magnet synchronous generator. International Review of Electrical Engineering (IREE), 7(1), 3290-3296.

Hasanien, H.M., & Muyeen, S.M. (2013). A Taguchi approach for optimum design of proportional-integral controllers in cascaded control scheme. IEEE Transaction on Power Systems, 28 (2), 1636-1644.

Oh, S.Y., Cho, S.Y., Han, J.H., Lee, H.J., Ryu, G.H., Kang, D., & Lee, J. Design of IPMSM rotor shape for magnet eddy-current loss reduction. IEEE Transactions on Magnetics, 50(2), Article Number: 7020804.

Neubauer, M., Neudorfer, H., & Schrodl, M. (2016). Influence of the rotor optimization of an interior permanent magnet synchronous generator on the short circuit behavior. 22nd International Conference on Electrical Machines (ICEM), 1828-1834, Sep. 04-07, Lausanne, Switzerland.

Xie, Q., Zhang, Y.B., Yu, Y.A., Si, G.Q., Yang, N.N., & Luo, L.F. (2016). A novel method to magnetic flux linkage optimization of direct-driven surface-mounted permanent magnet synchronous generator based on nonlinear dynamic analysis. Energies, 9(7), Article Number: 557.

Demir, U., & Akuner, M.C. (2017). Using Taguchi method in defining critical rotor pole data of LSPMSM considering the power factor and efficiency. Tehnicki Vjesnik-Technical Gazette, 24(2), 347-353.

Sabioni, C.L., Ribeiro, M.F.O, & Vasconcelos, J.A. (2018). Robust design of an axial-flux permanent magnet synchronous generator based on many-objective optimization approach. IEEE Transactions on Magnetics, 54(3), Article Number: 8101704.

Dai, L., Gao, J., Zhang, W. & Huang, S. (2019). A genetic-Taguchi global design optimization strategy for surface-mounted PM machine. 22nd International Conference on Electrical Machines and Systems (ICEMS), pp. 1-6, Harbin, China.

Gul, W., Gao, Q. & Lenwari, W. (2020). Optimal design of a 5-MW double-stator single-rotor PMSG for offshore direct drive wind turbines. IEEE Transactions on Industry Applications, 56(1), 216-225.

Semon, A., Melcescu, L., Craiu, O. and Cr?ciunescu, A. (2019). Design optimization of the rotor of a V-type interior permanent magnet synchronous motor using response surface methodology. 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE), pp. 1-4, Bucharest, Romania, Mar. 28-30.

Jun, Z., Guanghua, L., Di, C., & Zhenyi, Z. (2019). Voltage regulation rate and THD optimization analysis of coreless axial flux PM synchronous generator for wind power generation. IEEJ Transactions on Electrical and Electronic Engineering, 14(10), 1485-1493.

Karimpour, S.R., Besmi, M.R., & Mirimani, S.M. (2020). Optimal design and verification of interior permanent magnet synchronous generator based on FEA and Taguchi method. International Transactions on Electrical Energy Systems, 30(11), Article Number: E12597.

Karimpour, S.R., Besmi, M.R., & Mirimani, S.M. (2021). Multi-objective optimization design and verification of interior PMSG based on finite element analysis and Taguchi method. International Journal of Engineering, 34(9), 2097-2106.

Agrebi, H.Z., Benhadj, N., Chaieb, M., Sher, F., Amami, R., Neji, R., & Mansfield, N. (2021). Integrated optimal design of permanent magnet synchronous generator for smart wind turbine using genetic algorithm. Energies, 14(15), Article Number: 4642.

Alemi-Rostami, M., Rezazadeh, G., Alipour-Sarabi, R., & Tahami, F. (2022). Design and optimization of a large-scale permanent magnet synchronous generator. Scientia Iranica, 29(1), 217-229.

Mirjalili, S. (2015). Moth-?ame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowledge-Based Systems, 89, 228-249.

Mirjalili, S. https://seyedalimirjalili.com/mfo. (Access: Apr 04, 2023)

Wolpert, D.H., & Macready, W.G. (1997). No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation, 1, 67–82.

Montgomery, D.C. (2013). Design and analysis of experiments (8th ed.). John Wiley & Sons, New Jersey, USA.

Mason, R.L., Gunst, R.F., & Hess, J.L. (2003). Statistical Design and Analysis of Experiments (2nd ed.). John Wiley & Sons, New Jersey, USA.

Ileri, E., Karaoglan, A.D., & Akpinar, S. (2020). Optimizing cetane improver concentration in biodiesel-diesel blend via grey wolf optimizer algorithm. Fuel, 273, Article Number:117784.

Karaoglan, A.D., Perin D. (2022). Rotor Design Optimization of a synchronous generator by considering the damper winding effect to minimize THD using grasshopper optimization algorithm. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 12(2), 90-98, https://doi.org/10.11121/ijocta.2022.1181.

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Published

2024-03-26
CITATION
DOI: 10.11121/ijocta.1407
Published: 2024-03-26

How to Cite

Perin, D., Karaoglan, A. D., & Yilmaz, K. (2024). Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 14(2), 123–133. https://doi.org/10.11121/ijocta.1407

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Research Articles